There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Maren Hackenberg |
| Institution: | Medical Center - University of Freiburg |
| Department: | Institute of Medical Biometry and Statistics |
| Country: | |
| Proposed Analysis: | Our machine learning team works on developing new deep learning approaches to dynamically model time-series data from individuals including a broad range of clinical and non-clinical variables, thus aiming at an individual-level understanding of the underlying dynamics characterising patients’ developments. Specifically, we employ a deep generative model that captures the dynamics of an individual-specific underlying health status in a latent representation as solutions of ordinary differential equations. Our focus lies on designing the model such that it can learn these individual patient trajectories based on a sparse and irregular time grid of measurements together with a potentially more extensive characterisation of individuals at a baseline time point. This will help to uncover Alzheimer patients' individual disease trajectories and to identify factors that influence these trajectories. |
| Additional Investigators |
